The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
The article introduces optimization based intellectual decision_support system, applied while forming a plan for crop and livestock farming production. The system includes database, knowledge base as well as modules for formation of models, optimization, simulation, decision analysis and inference. The developed linear programming model contains several hundreds of variables and restrictions. Having solved the task for the optimization particular values of the variables are obtained and they indicate what crops should be grown and in what area, as well as what animals and how many of them should be kept and what resources and how much of them have to be used in order to achieve the biggest benefit under the conditions presented. The simulation was employed to test the sensitivity of the plan to weather and market variations. The module of decision analysis and inference indicates that farm resources are used inefficiently and draw conclusions and recommendations for users.
Inappropriate format for Document type, expected simple value but got array, please use list format